An autogam
object contains a gam
element that is simply an mgcv::gam
object. So, it supports all mgcv::gam
methods by, in most cases, simply passing the gam
element on to their corresponding mgcv::gam
methods. Only the following methods have special specifications for autogam (see their dedicated documentation files for details): print.autogam()
.
Usage
# S3 method for class 'autogam'
anova(x, ...)
# S3 method for class 'autogam'
coef(x, ...)
# S3 method for class 'autogam'
cooks.distance(model, ...)
# S3 method for class 'autogam'
formula(x, ...)
# S3 method for class 'autogam'
influence(model, ...)
# S3 method for class 'autogam'
logLik(x, ...)
# S3 method for class 'autogam'
model.matrix(x, ...)
# S3 method for class 'autogam'
predict(x, ...)
# S3 method for class 'autogam'
residuals(x, ...)
# S3 method for class 'autogam'
vcov(x, ...)
Value
Returns the return object of the corresponding mgcv::gam
method.